i ntroduction: we studied and measured facial parameters of 160 students,aged 22-24 years attended at sahand university of technology in northwest of iran. mat erial and methods: in this paper, six linear and six angular facial parameters are measured. these parameters are measured in frontal and profile facial images. the measured values are the mean and standard deviation (sd) of distance bet...

  Purpose: Different views of an individuals’ image may be required for proper face recognition.   Recently, discrete cosines transform (DCT) based method has been used to synthesize virtual   views of an image using only one frontal image. In this work the performance of two different   algorithms was examined to produce virtual views of one frontal image.   Materials and Methods: Two new meth...

objectives: new digital two-dimensional imaging systems are considered as an easily accessible modality for sinonasal evaluation. the aim of this study was to assess the diagnostic efficacy of digital waters’ and caldwell’s radiographic views for evaluation of sinonasal area. materials and methods: a total of 273 patients fulfilling the inclusion criteria were enrolled in this descriptive-analy...

OBJECTIVE To determine the efficacy of frontal sinus drillout surgery for the treatment of chronic frontal sinusitis. DESIGN Retrospective case-control study. Mean +/- SD follow-up was 4.1 +/- 1.53 years (range, 1.4-6.9 years). SETTING Academic medical center. PATIENTS One hundred consecutive patients with chronic sinusitis who underwent frontal sinus drillout surgery. Indications were fa...

In video surveillance, the face recognition usually aims at recognizing a non-frontal low resolution face image from the gallery in which each person has only one high resolution frontal face image. Traditional face recognition approaches have several challenges, such as the difference of image resolution, pose variation and only one gallery image per person. This paper proposes a new method fo...

Face recognition is a difficult problem and it becomes even more challenging for non-frontal view images (captured by a CCTV camera) commonly encountered in a forensic face recognition case. In a typical forensic case, the surveillance view test image (also called the trace) is captured by a CCTV camera and the reference set consists of frontal view mug shot image of the suspects. Comparison of...

A major challenge for automatic face based identity inference is the shear magnitude of uncontrolled factors than can result in a considerable change of shape and appearance, such as expression, illumination and pose. The problem is complicated further when only one image per person is available for training. In this paper we present an approach that uses a data driven and computationally effic...

This paper presents a practical algorithm for facial age estimation from frontal face image. Facial age estimation generally comprises two key steps including age image representation and age estimation. The anthropometric model used in this study includes computation of eighteen craniofacial ratios and a new accurate skin wrinkles analysis in the first step and a pairwise binary support vector...